Title

Linear Feature Enhancement Using Directional Filtering and Neural System

Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

1898

Comments

This article was originally published as: Li, D., Guo, W., & Watson, A. C. (2001). Linear feature enhancement using directional filtering and neural system. Proceedings of 2001 International Conferences on Info-Tech and Info-Net. ICII. (pp. 342-345). Piscataway, New Jersey: IEEE. Original article available here

Abstract

Recognizing linear information in some selective directions is required sometimes in image processing. Directional filters can be made in some specific directions so that the interested linear features in these directions are enhanced. Traditionally the results of directional filtering in these directions are presented in separate images, which is inefficient in revealing the relationships between linear features in these directions. In this paper, we propose a new approach that uses a neural system to coordinate all the results from directional filtering in several directions to produce an integrated image that presents the enhanced linear features in one or more of these directions. The synthetic and real examples presented in this paper prove that the combination of neural system and directional filtering is useful for linear feature enhancement.

DOI

10.1109/ICII.2001.982770

 

Link to publisher version (DOI)

10.1109/ICII.2001.982770